Inside the Underground Site Where ‘Neural Networks’ Churn Out Fake IDs

An underground website called OnlyFake is claiming to use “neural networks” to generate realistic looking photos of fake IDs for just $15, radically disrupting the marketplace for fake identities and cybersecurity more generally. This technology, which 404 Media has verified produces fake IDs nearly instantly, could streamline everything from bank fraud to laundering stolen funds.

In our own tests, OnlyFake created a highly convincing California driver’s license, complete with whatever arbitrary name, biographical information, address, expiration date, and signature we wanted. The photo even gives the appearance that the ID card is laying on a fluffy carpet, as if someone has placed it on the floor and snapped a picture, which many sites require for verification purposes.  – Read More

#fake

Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’


A finance worker at a multinational firm was tricked into paying out $25 million to fraudsters using deepfake technology to pose as the company’s chief financial officer in a video conference call, according to Hong Kong police.

The elaborate scam saw the worker duped into attending a video call with what he thought were several other members of staff, but all of whom were in fact deepfake recreations, Hong Kong police said at a briefing on Friday.  – Read More

#fake

The Quest for AGI: Q*, Self-Play, and Synthetic Data

One topic at the center of the AI universe this week is a potential breakthrough called Q*. Little has been revealed about this OpenAI project, other than its likely relationship to solving certain grade-school mathematical problems.

Amid much speculation, we decided to bring in our new general partner, Anjney Midha – focused on all things AI – to sift through the sea of noise.

Today, we discuss the key frontier research areas that AI labs are exploring on their path toward generalizable intelligence, from self-play, to model-free reinforcement learning to synthetic data. Anjney also shares his insights on which approach he expects to be most influential in the next wave of LLMs and why math problems are even a suitable testing ground for this kind of research.  – Read More

#human, #podcasts

VC’s share how AI will shape the future of tech startups

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#strategy-videos

Hugging Face launches open source AI assistant maker to rival OpenAI’s custom GPTs

Hugging Face, the New York City-based startup that offers a popular, developer-focused repository for open source AI code and frameworks (and hosted last year’s “Woodstock of AI”), today announced the launch of third-party, customizable Hugging Chat Assistants.

The new, free product offering allows users of Hugging Chat, the startup’s open source alternative to OpenAI’s ChatGPT, to easily create their own customized AI chatbots with specific capabilities, similar both in functionality and intention to OpenAI’s custom GPT Builder — though that requires a paid subscription to ChatGPT Plus ($20 per month), Team ($25 per user per month paid annually), and Enterprise (variable pricing depending on the needs).  – Read More

#devops